Protein design 2026 Rank: #3039

Latent-Y ✓

Design antibodies from text prompts in hours, not weeks.

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Verdict

A quick read before you dig into the full page.

Best if
Design antibodies from text prompts in hours, not weeks
Skip if
Complex to setup
Pick this when
Accelerates drug discovery

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Overview

Latent-Y, developed by Latent Labs, is an artificial intelligence tool designed to accelerate the process of drug discovery, specifically in the design of antibodies.

The tool is able to autonomously create novel antibodies from text prompts, effectively reducing the work of weeks into just a few hours. It operates by processing text prompts that detail design goals and constraints, subsequently generating novel, lab-confirmed binders, without requiring any human intervention.

The advantage of Latent-Y is evident in the applied force multiplier for drug discovery teams, as a single researcher can manage multiple design campaigns simultaneously, thereby expanding the capacity to explore therapeutic opportunities.

Moreover, it offers the benefit of running within the same environment as protein design experts, utilizing bioinformatics tools, biological databases, and external publications.

With Latent-Y, not only is the design of campaigns significantly faster, but the results are demonstrated to be lab-validated across several campaign types.

The tool is also flexible, offering the possibility of either full autonomy or an interactive human-in-the-loop approach. Ultimately, the power of Latent-Y lies in its capacity to be fully embedded and integrated into the Latent Labs platform, enabling a complete lab-validated, no-coding workflow for drug design.

Latent-Y website

Access & connections

Where you can use Latent-Y.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Text

Output

  • Text

Supported features

  • Medical

Pros & cons

Pros

  • Accelerates drug discovery
  • Designs antibodies from text
  • Autonomous creation of antibodies
  • Runs multiple design campaigns
  • Faster design campaign results
  • Results lab-validated across campaigns
  • Full autonomy or interactive approach
  • Fully integrated into Latent Labs
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  • No-coding workflow for drug design
  • Runs within protein design environment
  • Utilizes bioinformatics tools
  • Access to biological databases
  • Uses external publications
  • Impact on research capacity
  • De novo antibody creation
  • Generates lab-confirmed binders
  • Design antibodies cross-species
  • Design from scientific papers
  • Designs from high-level objectives
  • 56x faster campaign completion
  • Process natural language inputs
  • Parallel campaign execution
  • Transparent design decisions
  • 67% target-level success rate
  • End-to-end lab validation
  • Supports multiple design modalities
  • Compresses weeks work into hours

Cons

  • Complex to setup
  • Limited accessibility
  • Only works within Latent Labs
  • Needs expert biotechnology knowledge
  • Difficulty in integrating with other workflows
  • Limited modality coverage
  • May outsource human expertise
  • Confined to specific research objectives
Show 2 more
  • Depends on underlying LLM performance
  • Not tested on clinical trials

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Releases 1

Initial release September 4, 2026 Current
Initial release of Latent-Y.

FAQ 12

What is Latent-Y developed by Latent Labs?
Latent-Y is an artificial intelligence tool developed by Latent Labs. It is specially designed to speed up the process of drug discovery with its primary focus on the design of antibodies. Alongside this, Latent-Y autonomously creates novel antibodies from text prompts, condensing weeks of work into a matter of hours.
How does Latent-Y accelerate the drug discovery process?
Latent-Y uses artificial intelligence to expedite the drug discovery process. It autonomously designs new antibodies from text prompts, effectively condensing weeks of expert work into mere hours. This force multiplier operates within the same environment as protein design experts, with access to bioinformatics tools, biological databases, and external publications. A single researcher can run multiple design campaigns in parallel, transforming the scale at which a drug discovery team can explore therapeutic opportunities.
Can Latent-Y independently generate novel antibodies using text prompts?
Yes, Latent-Y can independently generate novel antibodies using text prompts. These prompts detail design goals and constraints, which Latent-Y processes and then autonomously generates lab-confirmed binders. This innovative feature simplifies the design of antibodies, reducing weeks of extensive work down to just a few hours.
What is the key function of text prompts in Latent-Y's operation?
Text prompts play a pivotal role in the Latent-Y operation by outlining the design goals and constraints for the antibody generation process. Latent-Y processes these prompts and produces novel lab-confirmed binders, without the need for any human intervention.
Can Latent-Y confirm the binding capacity of the antibodies it creates?
Yes, the design accuracy of Latent-Y is verified with Lab-confirmed binders. After autonomously designing novel antibodies based on text prompts, Latent-Y is capable of independently confirming the binding capacity of the antibodies it produces, reaching single-digit nanomolar affinities.
Can Latent-Y run multiple design campaigns at the same time?
Yes, one of the standout features of Latent-Y is its capacity to initiate and manage multiple design campaigns simultaneously. This allows a single researcher to operate several campaigns at once, drastically expanding the potential to explore an array of therapeutic opportunities.
Does Latent-Y offer full operational autonomy or does it require human intervention?
Latent-Y is quite flexible and offers two distinct modes of operation. It can operate with full autonomy from end to end, or it can work in an interactive manner, involving a human-in-the-loop approach at different stages of the process.
Where does Latent-Y get information for antibody design?
Latent-Y gathers information from a variety of sources similar to protein design experts. It has access to bioinformatics tools, biological databases, and external publications, which provide it with a thorough and systematic framework for antibody design.
How does Latent-Y integrate into the existing Latent Labs platform?
Latent-Y is fully embedded and integrated into the Latent Labs platform, providing a complete and practical lab-confirmed workflow for drug design, with no coding requirement. This seamless integration allows for a smooth and efficient workflow, advancing drug discovery capabilities.
How does Latent-Y assist in exploring therapeutic opportunities?
Latent-Y expands therapeutic opportunities by allowing a single researcher to manage multiple design campaigns at the same time. This force multiplier feature offers the capacity to explore various therapeutic scenarios simultaneously, potentially leading to valuable discoveries and breakthroughs.
Are the results generated by Latent-Y lab-validated?
Yes, the results generated by Latent-Y are lab-validated. Lab-confirmed binders are produced across different campaign types, further substantiating the reliability and effectiveness of the AI tool.
Does Latent-Y require any coding knowledge to operate?
Latent-Y offers a complete no-coding workflow for drug design. Users are not required to possess any coding knowledge to utilize Latent-Y, making it accessible to researchers who specialize in fields other than computer science.
Latent-Y